Partnership Enables Organizations to Achieve Full Power of Analytics and Data Science by Embracing DataOps

StreamSets®, the provider of DataOps platform, recently declared a collaboration with Databricks, the provider of unified data analytics, to enable data teams with accelerated, no-code development utilizing Apache Spark and Delta Lake for modern analytics and data science at scale.

“Delta Lake builds on our history of innovation by providing an open-source storage layer for data lakes with support for transactions and massive scale,” said Pankaj Dugar, vice president of ISV and Technology Partners, Databricks. “We are excited to partner with StreamSets and make Delta Lake and Apache Spark even more accessible through their DataOps platform.”

With the help of the joint solution provided by StreamSets DataOps and Databricks, organizations can apply a DataOps intellect to their critical data science and advanced analytics plans.

Notably, the StreamSets DataOps Platform makes it simple to ingest, monitor, and integrate data migrating into Databricks by moderating data drift and operationalizing the process through its full life cycle.

As a consequence, the Databricks customer has higher operational control, deeper insights, and greater visibility into data — all within a single, highly integrated solution.

Further, given StreamSets Transformer’s different, Spark-native approach to data processing, even Spark non-experts can benefit from the power of Databricks. With the blended approach, the two organizations are allowing more data to be delivered quicker to drive analytics.

“This partnership with Databricks is key to expanding our solution to new sets of Data and AI applications, as we’re allying with a company whose reputation as an innovator is unmatched,” said Jobi George, GM of Cloud Business at StreamSets. “Together, StreamSets and Databricks are bringing the full power of Spark and the Databricks platform to a new spectrum of users, easing the drive towards digital transformation.”

StreamSets built the industry’s first multi-cloud DataOps platform for modern data integration, helping enterprises to continuously flow big, streaming and traditional data to their data science and data analytics applications. The platform uniquely handles data drift, those frequent and unexpected changes to upstream data that break pipelines and damage data integrity.

The StreamSets DataOps Platform allows for execution of any-to-any pipelines, ETL processing and machine learning with a cloud-native operations portal for the continuous automation and monitoring of complex multi-pipeline topologies.

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